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Appearance-based biometric recognition: Secure authentication and cancellability

Lookup NU author(s): Mohammad Dabbah, Dr Wai Lok Woo, Professor Satnam Dlay


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Although, biometrics provide high-confidence and trusted security, they suffer from a fatal weakness that emerges from permanence and limitation in quantities. Such a drawback puts biometric data under a substantial risk of fraudulent, which makes the replacement of traditional authentication systems infeasible with the lack of proper biometric data protection. This paper presents a novel biometric protection method to generate secure facial biometric templates used in statistical-based recognition algorithms such as 2DPCA. Original biometrics are polynomially transformed to the secure domain, where cooccurrence matrices are used to generate the final templates. The paper presents a unique relationship established by the Hadamard product within the transformation. The generated secure templates are used in the same fashion as original biometrics for evaluations using 2DPCA without any change to the recognition algorithm. And yet, evaluations confirm high security with enhanced recognition accuracy by 3% and 4.5% over the original and other transformed data respectively. © 2007 IEEE.

Publication metadata

Author(s): Dabbah MA, Woo WL, Dlay SS

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 15th International Conference on Digital Signal Processing, DSP 2007

Year of Conference: 2007

Pages: 479-482

Publisher: IEEE Xplore


DOI: 10.1109/ICDSP.2007.4288623

Library holdings: Search Newcastle University Library for this item

ISBN: 1424408822